b'Haifeng Li'

research

∙ 08/07/2023

AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning

Continual lifelong learning is an machine learning framework inspired by...

0 Xingyu Li, et al. ∙

research

∙ 06/28/2023

GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation

Self-supervised contrastive learning (SSCL) has achieved significant mil...

0 Zhaoyang Zhang, et al. ∙

research

∙ 04/14/2023

BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning

Automatic and periodic recompiling of building databases with up-to-date...

0 Cheng Liao, et al. ∙

research

∙ 12/08/2022

Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples

In recent years, using a self-supervised learning framework to learn the...

0 Jiawei Zhu, et al. ∙

research

∙ 11/15/2022

Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works

Deep learning has achieved great success in learning features from massi...

0 Chao Tao, et al. ∙

research

∙ 11/15/2022

False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

The existing SSCL of RSI is built based on constructing positive and neg...

0 Zhaoyang Zhang, et al. ∙

research

∙ 10/30/2022

STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph

The key to traffic prediction is to accurately depict the temporal dynam...

0 Silu He, et al. ∙

research

∙ 10/19/2022

HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation

Deep Neural Network (DNN) based point cloud semantic segmentation has pr...

1 Yunsheng Zhang, et al. ∙

research

∙ 10/15/2022

Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations

The pretasks are mainly built on mutual information estimation, which re...

0 Haifeng Li, et al. ∙

research

∙ 04/10/2022

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

Do we on the right way for remote sensing image understanding (RSIU) by ...

0 Chao Tao, et al. ∙

research

∙ 03/31/2022

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

Point cloud scene flow estimation is of practical importance for dynamic...

5 Zhao Jin, et al. ∙

research

∙ 03/29/2022

Image Segmentation with Adaptive Spatial Priors from Joint Registration

Image segmentation is a crucial but challenging task that has many appli...

4 Haifeng Li, et al. ∙

research

∙ 03/04/2022

Weighted Simultaneous Algebra Reconstruction Technique (wSART) for Additive Light Field Synthesis

We apply an iterative weighting scheme for additive light field synthesi...

0 Chen Gao, et al. ∙

research

∙ 12/04/2021

Overcome Anterograde Forgetting with Cycled Memory Networks

Learning from a sequence of tasks for a lifetime is essential for an age...

0 Jian Peng, et al. ∙

research

∙ 11/23/2021

Reviewing continual learning from the perspective of human-level intelligence

Humans' continual learning (CL) ability is closely related to Stability ...

2 Yifan Chang, et al. ∙

research

∙ 11/21/2021

Learning by Active Forgetting for Neural Networks

Remembering and forgetting mechanisms are two sides of the same coin in ...

7 Jian Peng, et al. ∙

research

∙ 06/30/2021

Curvature Graph Neural Network

Graph neural networks (GNNs) have achieved great success in many graph-b...

0 Haifeng Li, et al. ∙

research

∙ 06/20/2021

Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method

A new learning paradigm, self-supervised learning (SSL), can be used to ...

9 Haifeng Li, et al. ∙

research

∙ 03/31/2021

Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks

Considering the success of generative adversarial networks (GANs) for im...

0 Xu Chen, et al. ∙

research

∙ 03/02/2021

Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks

One of the key problems of GNNs is how to describe the importance of nei...

0 Haifeng Li, et al. ∙

research

∙ 11/26/2020

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

When considering the spatial and temporal features of traffic, capturing...

0 Jiawei Zhu, et al. ∙

research

∙ 11/26/2020

Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images

Detecting the changes of buildings in urban environments is essential. E...

20 Qing Zhu, et al. ∙

research

∙ 11/22/2020

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting

Traffic forecasting is a fundamental and challenging task in the field o...

3 Jiawei Zhu, et al. ∙

research

∙ 10/19/2020

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

Street Scene Change Detection (SSCD) aims to locate the changed regions ...

0 Yinjie Lei, et al. ∙

research

∙ 10/02/2020

Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples

With the development of deep learning, supervised learning methods perfo...

13 Chao Tao, et al. ∙

research

∙ 09/28/2020

RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification

Training a modern deep neural network on massive labeled samples is the ...

4 Haifeng Li, et al. ∙

research

∙ 09/17/2020

Urban Traffic Flow Forecast Based on FastGCRNN

Traffic forecasting is an important prerequisite for the application of ...

0 Ya Zhang, et al. ∙

research

∙ 07/13/2020

Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources

Earth observation resources are becoming increasingly indispensable in d...

0 Baoju Liu, et al. ∙

research

∙ 06/20/2020

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

Accurate real-time traffic forecasting is a core technological problem a...

0 Jiawei Zhu, et al. ∙

research

∙ 04/18/2020

DAPnet: A double self-attention convolutional network for segmentation of point clouds

LiDAR point cloud has a complex structure and the 3D semantic labeling o...

8 Li Chen, et al. ∙

research

∙ 03/07/2020

DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

Change detection is a basic task of remote sensing image processing. The...

16 Jie Chen, et al. ∙

research

∙ 02/20/2020

Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition

Precision mapping of landslide inventory is crucial for hazard mitigatio...

0 Qing Zhu, et al. ∙

research

∙ 01/27/2020

Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Remote sensing image scene classification is a fundamental but challengi...

7 Jie Chen, et al. ∙

research

∙ 12/19/2019

SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

High-resolution remote sensing images (HRRSIs) contain substantial groun...

0 Haifeng Li, et al. ∙

research

∙ 12/19/2019

Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation

Enabling a neural network to sequentially learn multiple tasks is of gre...

11 Jian Peng Bo Tang, et al. ∙

research

∙ 10/29/2019

Adversarial Example in Remote Sensing Image Recognition

With the wide application of remote sensing technology in various fields...

3 Li Chen, et al. ∙

research

∙ 10/26/2019

MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

Accurately and efficiently extracting building footprints from a wide ra...

23 Qing Zhu, et al. ∙

research

∙ 09/22/2019

Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning

Image segmentation with a volume constraint is an important prior for ma...

11 Haifeng Li, et al. ∙

research

∙ 03/26/2019

Probabilistic Load Forecasting via Point Forecast Feature Integration

Short-term load forecasting is a critical element of power systems energ...

0 Qicheng Chang, et al. ∙

research

∙ 03/26/2019

Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis

Short-term load forecasting (STLF) is essential for the reliable and eco...

0 Yayu Peng, et al. ∙

research

∙ 03/09/2019

Program Classification Using Gated Graph Attention Neural Network for Online Programming Service

The online programing services, such as Github,TopCoder, and EduCoder, h...

0 Mingming Lu, et al. ∙

research

∙ 12/25/2018

Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method

Convolutional neural networks (CNNs) are easily spoofed by adversarial e...

20 Li Chen, et al. ∙

research

∙ 12/04/2018

Overcoming Catastrophic Forgetting by Soft Parameter Pruning

Catastrophic forgetting is a challenge issue in continual learning when ...

0 Jian Peng, et al. ∙

research

∙ 11/27/2018

Understanding the Importance of Single Directions via Representative Substitution

Understanding the internal representations of deep neural networks (DNNs...

8 Li Chen, et al. ∙

research

∙ 11/12/2018

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Accurate and real-time traffic forecasting plays an important role in th...

0 Ling Zhao, et al. ∙

research

∙ 11/06/2018

A New Analysis for Support Recovery with Block Orthogonal Matching Pursuit

Compressed Sensing (CS) is a signal processing technique which can accur...

0 Haifeng Li, et al. ∙

research

∙ 10/22/2018

Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

The key factor of scene change detection is to learn effective feature t...

2 Enqiang Guo, et al. ∙

research

∙ 08/04/2017

On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition

Human vision possesses strong invariance in image recognition. The cogni...

0 Jie Chen, et al. ∙

research

∙ 05/30/2017

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

Remote sensing image classification is a fundamental task in remote sens...

0 Haifeng Li, et al. ∙

research

∙ 05/19/2017

What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?

Recently, deep convolutional neural network (DCNN) achieved increasingly...

0 Haifeng Li, et al. ∙

Haifeng Li

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